Sample collection
Set the following intervals for data collection.
Type of interval | Duration in minutes |
---|---|
Real-time data collection | 5 |
Short-term historical data collection | 15 |
Long-term warehousing | 60 |
The real-time data collection is based on the intervals that you set.
Time | Real-time data collection |
---|---|
1:57 | First row of data, 798 bytes, collected. |
2:02 | Second row of data collected (replaces first row of data, which is discarded). |
2:07 | Third row of data collected (replaces second row of data, which is discarded). |
2:12 | Fourth row of data collected (replaces third row of data, which is discarded). |
2:17 | Fifth row of data collected (replaces fourth row of data, which is discarded). |
2:22 | Sixth row of data collected (replaces fifth row of data, which is discarded). |
2:27 | Seventh row of data collected (replaces sixth row of data, which is discarded). |
2:32 | Eighth row of data collected (replaces seventh row of data, which is discarded). |
2:37 | Ninth row of data collected (replaces eight row of data, which is discarded). |
2:42 | Tenth row of data collected (replaces ninth row of data, which is discarded). |
2:47 | Eleventh row of data collected (replaces tenth row of data, which is discarded). |
2:52 | Twelfth row of data collected (replaces eleventh row of data, which is discarded). |
2:57 | Start of next cycle of real-time data collection. |
The short-term historical data collection is based on the intervals that you set.
Time | Short-term historical data collection |
---|---|
1:58 | Start collection. |
2:00 | Use the most recent real-time collection to store the first row of data (816 bytes). |
2:15 | Use the most recent real-time collection to store the second row of data (816 bytes). |
2:30 | Use the most recent real-time collection to store the third row of data (816 bytes). |
2:45 | Use the most recent real-time collection to store the fourth row of data (816 bytes). |
3:00 | Use the most recent real-time collection to store the fifth row of data (816 bytes). |
Every hour, the Warehouse Proxy Agent transfers all rows of data to the database as long-term historical data that is maintained by IBM® Tivoli® Data Warehouse. You can use the following formula to calculate the volume of data, in bytes, that is collected: 4 x 816 x n. In the formula, n stands for the total number of data sets in all data set groups.